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An Improved Harris Corner Detection Algorithm

  • Qingfeng SunEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

The traditional Harris corner detection algorithm is sensitive to noise, and Corner is prone to drift at different image resolution. Combined with the multi-scale features of wavelet transform, propose a corner detection algorithm based on the wavelet transform. The algorithm maintains the advantages of Harris corner detection algorithm in image scaling, rotation or gray scale change, improves its disadvantage of scale invariance, and has strong anti-noise and real-time performance. It has good anti-noise and real-time performance.

Keywords

Corner detection Wavelet transform Multi-scale 

Notes

Acknowledgements

Project found: (1) Young teachers development and support program of Anhui Technical College of Mechanical and Electrical Engineering (project number: 2015yjzr028); (2) Anhui Quality Engineering Project “Industrial Robot Virtual Simulation Experimental Teaching Center” (project number:2016xnzx007); (3) nhui Province Quality Engineering Project “Exploration and Practice of Innovative and Entrepreneurial Talents Training Mechanism for Applied Electronic Technology Specialty in Higher Vocational Colleges” (project number:2016jyxm0196); (4) Anhui Quality Engineering Project (MOOC) “Off-line Programming of Industrial Robots” (project number:2017 mooc091).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronic EngineeringAnhui Technical College of Mechanical and Electrical EngineeringWuhuChina

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